Detecting Anomalies to Improve Classification Performance in Opportunistic Sensor Networks

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We prove global in time well-posedness for perturbations of the 2D stochastic Navier-Stokes equations partial derivative( t)u + u center dot del u = Delta u - del p + sigma + xi, u(0, center dot ) = u(0),div (u) = 0, driven by additive space-time white noi ...

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There is a bias in the inference pipeline of most diffusion models. This bias arises from a signal leak whose distribution deviates from the noise distribution, creating a discrepancy between training and inference processes. We demonstrate that this signa ...

Combined high-fusion performance and long-pulse operation is one of the key integration challenges for fusion energy development in magnetic devices. Addressing these challenges requires an integrated vision of physics and engineering aspects with the purp ...

Plasma turbulence plays a fundamental role in determining the performances of magnetic confinement fusion devices, such as tokamaks. Advances in computer science, combined with the development of efficient physical models, have significantly improved our u ...

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Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring datasets that can be used to build diagnosis algorithms capable of warning ma ...

A review is given on the highlights of a scatter-shot approach of developing machine-learning methods and artificial neural networks based fast predictors for the application to fusion exhaust. The aim is to enable and facilitate optimized and improved mod ...

The official Spherical Tokamak for Energy Production mission aims to demonstrate the ability to generate net electricity from fusion with the STEP Prototype Power plant. One of the key technological and engineering challenges in fusion power plants is mana ...

Static and mobile sensor nodes can be employed in gas monitoring tasks to detect gas leaks in an early stage and localize gas sources. Due to the intermittent nature of gas plumes and the slow dynamics of commonly used gas sensors, measuring gas concentrat ...

Addressing the environmental impact of electronic waste in biomedical sensing, an eco-conscious approach to the realization of a Chitosan-based Acetone sensor tag for wireless gas monitoring is presented. The fabrication involves inkjet printing of silver ...

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This paper introduces Wireless IoT-based Noise Cancellation (WINC) which defines a framework for leveraging a wireless network of IoT microphones to enhance active noise cancellation in noise-canceling headphones. The IoT microphones forward ambient noise ...

Ion transport through biological and solid-state nanochannels is known to be a highly noisy process. The power spectrum of current fluctuations is empirically known to scale like the inverse of frequency, following the long-standing yet poorly understood H ...

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Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems". The corresponding scripts can be accessed on GitHub (https://github.com/axgoujon/convex_ridge_regularizers). The data is organized as follows: - ct_data_sets.tar.gz: contains prepr ...

Within the context of contemporary machine learning problems, efficiency of optimization process depends on the properties of the model and the nature of the data available, which poses a significant problem as the complexity of either increases ad infinit ...

Detecting Anomalies to Improve Classification Performance in Opportunistic Sensor Networks

Chat with Graph Search

Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise

Morphological and Material Programability of a Hall-Effect Based Soft Tactile Sensors

Silicon CMOS and InGaAs(P)/InP SPADs for NIR/SWIR detection

Exploiting the Signal-Leak Bias in Diffusion Models

Long plasma duration operation analyses with an international multi-machine (tokamaks and stellarators) database

Nonlinear simulation of plasma turbulence using a gyrokinetic moment-based approach

Global fluid simulations of plasma turbulence in stellarators

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Data-driven models in fusion exhaust: AI methods and perspectives

Models implemented in the methodological approach to design the initial STEP first wall contour

Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments

Eco-Conscious Approach to Wireless Gas Monitoring With a Hybrid Printed Passive Sensor Tag

Imaging sensor device using an array of single-photon avalanche diode photodetectors

Optimal digital filter selection for remote photoplethysmography (rPPG) signal conditioning

Capturing Types

WINC: A Wireless IoT Network for Multi-Noise Source Cancellation

Disentangling 1/f noise from confined ion dynamics

Performance investigation of cameras using HDR sensors for daylight glare evaluations

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

Universal and adaptive methods for robust stochastic optimization